À propos de Thomas
Teams spend hours on tasks a workflow could do. I help companies detect and fix business leaks through targeted workflow and AI automation, built around your constraints.
Where your business likely has leaks
- Time lost in repetitive processes:
Document generation, data extraction, report assembly, compliance formatting - tasks eating 20, 30, 40 hours a month, every month. Your team knows they are painful, but "it's always been done this way"
- Slow turnarounds costing deals
A client sends a 500-page spec and expects a quote within days. Your team spends a week manually cross-referencing parameters, normalizing terminology, and filling spreadsheets. Your competitor who automates this wins
- Operational friction blocking growth:
Every hour spent on manual processes is an hour not spent on clients, strategy, or growth. The real cost isn't the task - it's what your team would be doing instead
My approach
- Business first, technology second
I don't start with tools, I start with your business context, constraints, and objectives. The automation is custom-built to solve your specific problem, not to showcase technology
- Diagnostics
Identifying time leaks, cost leaks, and untapped revenue opportunities in your current workflows
- Design
Data confidentiality, human-in-the-loop validation, production reliability, team adoption
- Built to run
Containerized, monitored, maintainable
Recent projects
- AI-generated industrial/business documents (manufacturing SME):
A multi-agents workflow, data confidentiality, human in the loop, Docker deployment. Targets a 20-40 hours/month manual task (pilot outside Malt)
- AI-powered commercial quote generation from business specs:
Workflow includes flagging atypical requirements for human review and custom markup
- Hedge fund-grade systematic trading infrastructure:
Deployed on VPS for live execution across futures and CFDs
Github: ThomasLaloux
Anglais
Bilingue ou natif
Français
Bilingue ou natif
Néerlandais
Capacité professionnelle limitée
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- Self-employedAI-Powered Workflow Automationfévrier 2026 - Aujourd'hui (6 mois)- Workflow/AI automation: multi-agentic workflow automation for document generation under industrial/business constraints. n8n orchestration, python-based multi-agents workflow (planner, writer, validator and iterative loops), cloud & local LLMs/SLMs, RAG extraction, Qdrant as vector DB, API integrations, prompt engineering.- Systematic Trading Infrastructure Developer: data collection and brokers interface: broker data sources; parquet files, DuckDB, orders and position management. Backtesting: custom engine, walk-forward optimization. Strategy development. Live trading engine.
- Self-EmployedProprietary trading & quantitative developmentjanvier 2018 - novembre 2025 (7 ans et 10 mois)- Eight years running my own book and building the systems behind it, by choice, not as a client-service practice. Developments now largely complete, opening to client work in 2026.- Algorithmic trading (python, mql5): developed and backtested mid-frequency algorithmic trading systems (long/short trend following, mean reversion), coded advanced day trading indicators to support discretionary trading decisions. Currently extending a systematic trading infrastructure in Python.- Data analysis & equity market screening (matlab): performed data analysis and supervised classification (comprehensive screening engine) to identify position trading opportunities across global equity markets on a daily basis (data acquisition with APIs, trend following strategies, custom visualization, parallel computing, deployment in production.- Proprietary trading: conducted position trading/investing in equity and crypto markets, and shared insights over 2024-2025 (metrics available upon request).
- ENGIEBusiness & Market Analystjuillet 2012 - décembre 2017 (5 ans et 5 mois)Brussels, Belgium- Data analysis (SQL, python): applied SQL queries and ML classification techniques to cluster of clients behavior from smart thermostat data and produce energy efficiency insights.- Power market modelling: modelled the LT Italian supply, demand and power prices as a key driver for strategic positioning and investment files.- Consulting in economic modelling (excel modeling): designed total cost of ownership models comparing green mobility solutions across energy types. Cooperated with M&A teams on assets valuations. Managed budgets, relationships with internal clients, and VIEs.- Market analysis: studied green mobility market potential, competition & regulation.
Recommandations
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Formations
- Diploma of Advanced Studies in StatisticsUCLouvain2006Diploma of Advanced Studies in Statistics
- MSc. in StatisticsUCLouvain2005MSc. in Statistics